Identification and verification of immunogenic cell death-related signatures derived from bone metastasis of prostate cancer based on multi-omics and machine learning algorithms
This model provides a valuable tool for characterizing TIME in metastatic PCa and demonstrates significant clinical utility for prognostic assessment and prediction of immunotherapy response and demonstrates robust prognostic accuracy for both the clinical outcomes and pathological features.